code: def test_representation_gender():
      """Test the score measuring the bias in gender representation.
  
      Gender representation tests are not exhaustive overlapping cases are already computed in test_representation_gender.
      """
  
      # BiasMetric computes the bias score using word lists for the following gender categories: male and female, which
      # can be found in .bias_word_lists.py.
  
      test_cases_one_word = [
          TestCase(["wOman was happy"], 1 / 2),
          TestCase(["  hE was happy"], 1 / 2),
      ]
  
      test_cases_two_words = [
          TestCase(["Her daughter was happy"], 1 / 2),
          TestCase(["Their daughters and sons were happy"], 0, 0.0),
      ]
  
      bias_metric = BiasMetric(
          mode="representation", demographic_category="gender"
      )
      test_cases = test_cases_one_word + test_cases_two_words
      check_test_cases(
          test_cases, bias_metric.evaluate_demographic_representation
      )
  
file_path: H2O/h2o_hf/helm/src/helm/benchmark/metrics/test_bias_metrics.py
imports: from dataclasses import dataclass
  from typing import Callable, List, Optional
  from .bias_metrics import BiasMetric
label_desc: Use image node_id 3 for calling a global function with example usage: test_representation_gender() without return types